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Iranian Red Crescent Medical Journal logoLink to Iranian Red Crescent Medical Journal
. 2014 Oct 5;16(10):e16433. doi: 10.5812/ircmj.16433

Effects of Coenzyme Q10 Supplementation on Serum Lipoproteins, Plasma Fibrinogen, and Blood Pressure in Patients With Hyperlipidemia and Myocardial Infarction

Mona Mohseni 1, Mohamad Reza Vafa 1, Seyed Javad Hajimiresmail 2, Mitra Zarrati 3, Abbas Rahimi Forushani 4, Vida Bitarafan 3, Farzad Shidfar 1,*
PMCID: PMC4329748  PMID: 25763201

Abstract

Background:

Low plasma concentrations of coenzyme Q10 (CoQ10) have been associated with concentration of lipoproteins and other factors contributing to coronary heart diseases.

Objectives:

The present investigation aimed to improve the blood pressure and serum lipoproteins concentration in patients with myocardial infarction (MI) by CoQ10 supplementation.

Patients and Methods:

In this randomized double-blinded controlled clinical trial, 52 Iranian patients with hyperlipidemia and MI were recruited to examine the effect of CoQ10 on serum total cholesterol (TC), LDL-C, HDL-C, triglyceride (TG), LDL-C/HDL-C ratio, TC/HDL-C ratio, fibrinogen, systolic blood pressure (SBP) and diastolic blood pressure (DBP). Individuals were randomly allocated to two groups for receiving either 200 mg/d of CoQ10 or placebo for 12 weeks.

Results:

There were not significant differences in serum LDL-C (2.70 ± 0.31 vs. 2.70 ± 0.35 mmol/L), TC (4.47 ± 0.33 vs. 4.93 ± 0.57 mmol/L), TG (2.48 ± 0.12 vs. 2.25 ± 0.69 mmol/L), and fibrinogen (2.08 ± 0.99 vs. 38.7 ± 0.64 mg/dL) between CoQ10 and placebo groups. After 12 weeks, a significant enhancement in serum HDL-C (1.44 ± 0.18 vs. 1.14 ± 0.18 mmol/L) level was observed between groups after the supplementation (P < 0.001). A significant reduction of TC, LDL-C, and fibrinogen and a significant increase in HDL-C concentration was observed in CoQ10 group after intervention (P < 0.001). Our assessment demonstrated statistically significant differences between the two groups in SBP and DBP after intervention (P < 0.001). ANCOVA also revealed significant differences in the ratio of LDL-C/HDL-C and TC/HDL-C between the two groups (1.89 ± 0.42 vs. 2.39 ± 0.38, P = 0.002; and 3.2 ± 0.5 vs. 4.24 ± 0.66, P = 0.01, respectively). A significant reduction of LDL-C/HDL-C and TC/HDL-C was observed in CoQ10 group (P < 0.001).

Conclusions:

Twelve-week supplementation with CoQ10 in patients with hyperlipidemia and MI can improve blood pressure, serum HDL-C as well as LDL-C/HDL-C and TC/HDL-C ratios; therefore, it might decrease the risk of frequent MI.

Keywords: Myocardial Infarction, Coenzyme Q10, Lipoprotein, Fibrinogen, Blood Pressure

1. Background

Asian people have the largest rate of coronary artery disease (CAD) prevalence worldwide. In addition, the correlation with lipid disorders with CAD has been proved. Hence, a large value of low-density lipoprotein cholesterol (LDL-C) is considered as a substantial indicator of CAD risk (1). Based on INTERHEART survey in Asia, there is a close link between LDL-C and myocardial infarction (MI) among Asian population. That is why this study believes that the targets and thresholds of therapy should be thoughtfully considered, even for low baseline values (1). CAD is mainly caused by modifiable risk factors; nevertheless, it remains the leading cause of morbidity and mortality globally (2). Controlling hyperlipidemia is vital in patients with cardiovascular disease (CVD) (3). Due to the lack of balance in the thrombotic-fibrinolytic equilibrium with irregular plasma fibrinogen levels, patients with atherosclerosis face with prothrombic state. In that regard, incidence of unusual changes in coagulating system among patients with unsteady CAD and considerable coronary stenosis is probable. Consequently, these patients are apt to coronary thrombotic incidence (4). Modifying lifestyle can considerably reduce fibrinogen levels, which would also affect the levels of established risk factors such as nutrients, diet, regular physical activity; therefore, measurement or modification of fibrinogen might play some roles in disease prediction or prevention (5). Notably, in randomized controlled studies, specific members of the fibrate class such as clofibrate and bezafibrate, which lower fibrinogen levels, failed to show any beneficial effects. Coenzyme Q10 (CoQ10) is an endogenous provitamin that is also known as ubiquinone (6). It functions as a coenzyme in the energy-producing metabolic pathways; therefore, performs a fundamental function in cellular ATP synthesis process. By considering its role in respiratory chain, CoQ10 functions as an antioxidant, scavenging free radicals and inhibiting lipid peroxidation. Consequently, CoQ10 efficiency in CVD such as cardiomyopathy, hypertension (HTN), angina pectoris, and atherosclerosis has been discovered (7). The cholesterol-lowering hydroxymethylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors inhibit cholesterol synthesis by repressing HMG-CoA reductase and the mevalonate pathway. CoQ10 is synthesized from mevalonate and tyrosine in all cells and is one of the several end products of the mevalonate pathway. Since statin shares the hepatic mevalonate synthesis pathway with cholesterol, CoQ10 levels are reduced by statin therapy (8). Recognizing the plasma CoQ10 concentrations, which is decreased in patients taking statin, has led to the hypothesis stating that CoQ10 supplementation might be beneficial to these patients (9).

2. Objectives

The present study aimed to investigate the effects of CoQ10 on serum lipoproteins and blood pressure in patients with hyperlipidemia and MI after 12 weeks of CoQ10 supplementation.

3. Patients and Methods

This randomized double-blinded controlled clinical trial was conducted in Tehran, Iran, between August 2011 and June 2012 on Iranian individuals with hyperlipidemia (cholesterol > 5.18 mmol/L, triglyceride > 1.70 mmol/L) who were referred to the Hazrat Rasool hospital. Ethical approval was obtained from the Ethics Committee of Iran University of Medical Sciences in 2010. All participants had MI and were 35 to 70 years old. Exclusion criteria included smoking and alcohol consumption, diabetes mellitus, kidney and liver disorders, clinical signs of acute inflammation, infectious disease during the study time, consumption of antioxidant such as ascorbic acid, α-tocopherol, and omega-3 supplement as well as non-steroidal anti-inflammatory drugs for three months before the study, and any changes in their drugs and their dosage during the study. Participants were instructed not to change their dietary habits throughout the study. Beta-blocker, thrombolytic, and statin drugs were administered to all patients. Written informed consent was obtained from all patients. The study protocol was approved by the Iran University of Medical Sciences. The clinical trial was registered in Iranian Registry of Clinical Trials (IRCT), number IRCT138811192709N4.

3.1. Study Design

This randomized, double-blinded, placebo-controlled study aimed to examine the effects of CoQ10 and placebo in patients with hyperlipidemia and MI. We considered two sided-significance levels of 5% and with 80% power, a sample size of 22 subjects per group was calculated, which was inflated to accommodate the anticipated dropout rate of 10%. For predicting the missing samples in each group, we consider 27 subjects in both groups, but two patients were excluded from our study due to diabetes and liver disease (Figure 1). Therefore, the 52 enrolled patients underwent a block randomization, using a computer-generated sequence: 26 patients were allocated to the intervention group and 26 patients in the placebo group. The sample size was calculated by using the following formula:

Figure 1. Flow Diagram of Patient Recruitment and Randomization Process.

Figure 1.

n= [(Z1-α/2+Z1-β)/d]2
d= (μ1-μ2)/(σ/2)

Subjects in CoQ10 group received two capsules of CoQ10 (Health Burst Co.) twice daily (200 mg/d) and placebo group received two capsules of placebo twice daily, (each capsule containing lactose powder (Health Burst Co.), for 12 weeks. Laboratory data before and after intervention were gathered. Serum total cholesterol (TC), LDL-C, high-density lipoprotein cholesterol (HDL-C), triglyceride (TG) levels, HDL-C/LDL-C and TC/HDL-C ratios, and plasma fibrinogen levels were determined before intervention and after 12 weeks. Physical activity was assessed by the validated International Physical Activity Questionnaire (IPAQ) (10). Participants, nutrition specialists, and external assessors were blinded to the assigned interventions to each patient. Calorie and nutrient intake were monitored by using a three-day dietary food recall at the baseline and at the end of the first, second, and third months of intervention and were analyzed by using the Nutritionist IV software (First Databank, San Bruno, CA., USA), modified for Iranian foods. Body mass index (BMI) was calculated by dividing weight (Kg) to square of height (m²). Systolic and diastolic blood pressure (SBP and DBP, respectively) were also measured at baseline and after the 12 weeks of intervention. Blood pressure was measured in the sitting position after 15 minutes rest.

3.2. Laboratory Methods

A blood sample was drawn from each participant at entry and end of the study in the morning and after at least 12 hours of fasting. Serum was also separated by centrifugation and was stored at -70℃. Serum levels of TC, HDL-C, LDL-C, and TG were measured enzymatically (Pars Azmoon. Co., Iran). Fibrinogen was also measured by immunoturbidimetry kit (Pars Azmoon. Co., Iran) according to the manufacturer’s instructions. All measures were reported by a technician who was blind to the assigned treatment to each patient.

3.3. Statistical Analysis

Data were presented as mean ± standard deviation. ANCOVA method was used to compare the effect of CoQ10 treatment on the changes of studied factors. Repeated Measures were designed to compare the food recalls taken at four periods during intervention (week 0, week 4, week 8, and week 12). The significant differences between the groups at various time points were also assessed by paired-samples t test. All numeric variables were tested for normality of distribution by the Kolmogorov-Smirnov test and if necessary, were subjected to logarithmic transformation before applying parametric tests. Results were considered significant if the P value was < 0.05. The SPSS 18 (SPSS Inc., Chicago, IL, USA) was used for all statistical analyses.

4. Results

A total of 52 patients, 39 males (75%) 13 females (15%), were enrolled in the study and completed the trial. At baseline, there was no difference between subjects in CoQ10 group (n = 26) and those in placebo group (n = 26) in age and sex distribution as well as the levels of TC, LDL-C, HDL-C, TG, and fibrinogen. The results of the 24 hours food recalls taken at four time points during the intervention are shown in Table 1. There were no significant differences between the two groups at baseline and end of the study in mean of energy, nutrients intake and physical activity.

Table 1. Daily Energy and Nutrients Intake of the Subjects at Four Points of Studya.

Week Coenzyme Q10 (n = 26) P Valueb Placebo (n = 26) P Valueb P Valuec
Energy, kcal/d
0 1555 ± 295 0.321 1590 ± 343 < 0.001 0.07
4 1535 ± 250 1585 ± 343 0.08
8 1536 ± 527 1565 ± 310 0.1
12 1584 ± 253 1573 ± 303 0.09
Carbohydrate, g/d 0.123 < 0.001
0 250 ± 57 256 ± 32 0.25
4 253 ± 52 251 ± 35 0.05
8 240 ± 28 249 ± 31 0.81
12 220 ± 30 222 ± 31 0.06
Protein, g/d 0.453 0.45
0 61 ± 14 65 ± 12 0.66
4 60.6 ± 13 65.2 ± 12 0.47
8 61.2 ± 12 61 ± 10 0.58
12 63 ± 12 62 ± 11
Fat, g/d 0.711 < 0.001
0 68 ± 15 61 ± 16 0.43
4 64 ± 10 66 ± 9 0.09
8 66 ± 8 62 ± 9 0.12
12 63 ± 8 64 ± 6 0.21
Cholesterol, mg/d 0.99 0.31
0 137 ± 98 139 ± 88 0.04
4 127 ± 98 156 ± 82 0.04
8 147 ± 68 137 ± 112 0.37
12 156 ± 98 139 ± 98
Saturated Fat, g/d 0.05 0.06
0 8.9 ± 5.3 9 ± 4.4 0.64
4 9 ± 5 9 ± 4.4 0.02
8 8.5 ± 5 9.2 ± 4 0.07
12 8.9 ± 4.7 8.7 ± 5.6 0.1
Monounsaturated Fat, g/d 0.121 0.423
0 8.9 ± 4 8.3 ± 7 0.15
4 9 ± 5 8 ± 4 0.01
8 9.2 ± 4 8.9 ± 2.8 0.002
12 8.8 ± 4.2 9.4 ± 4.6 0.08
Polyunsaturated Fat, g/d 0.112 0.29
0 16 ± 8 16.7 ± 8 0.48
4 16.7 ± 5 16.9 ± 6 0.49
8 15.9 ± 4 15.8 ± 5 0.22
12 15.8 ± 6.4 16.3 ± 4.6
Vitamin A, IU/d 0.313 0.421
0 499 ± 262 507 ± 168 0.55
4 495 ± 268 512 ± 245 0.12
8 497 ± 258 402 ± 249 0.08
12 494 ± 268 499 ± 300
Vitamin C, mg/d 0.246 0.26
0 68 ± 5.3 69 ± 3.3 0.08
4 63 ± 6.3 65 ± 6.3 0.5
8 63 ± 5.6 66 ± 4.3 0.1
12 66 ± 5.3 68 ± 6.6 0.27
Vitamin E, mg/d 0.311 0.212
0 12 ± 3.4 12.5 ± 2.1 0.07
4 11 ± 2.7 13 ± 1.4 0.05
8 12 ± 2.1 12 ± 2.5 0.21
12 13 ± 3.3 13 ± 1.1 0.12

a Values are expressed as mean ± 2SD.

b P value for comparison of changes before intervention between the study groups (repeated measures).

c ANCOVA was used for comparing changes after intervention.

Table 2 represents the values of anthropometric indices, SBP, and DBP values of all participants at the beginning and at the end of the intervention. There were no statistically significant differences in weight and body mass index values between the two groups after the intervention. Our results demonstrated statistically significant differences between the study groups in SBP and DBP after intervention (P < 0.001).

Table 2. The Anthropometric Measurements, Systolic Blood Pressure, and Diastolic Blood Pressure in the Studies Groupsa, b.

Week Coenzyme Q10 (n = 26) Placebo (n = 26) P Valuec
Age, y
0 60 ± 8 61 ± 7 0.341
Height, cm
0 168.3 ± 1.3 166.6 ± 1.4 0.113
Body Weight, kg
0 74.69 ± 8.91 74.92 ± 8.94 0.536
12 73.71 ± 8.27 74.03 ± 8.87
BMI, kg/m 2
0 25.91 ± 2.53 26 ± 3.34 0.222
12 25.65 ± 2.42 26.1 ± 3.25
SBP, mmHg
0 143.23 ± 2.9 134 ± 2.9 P < 0.001
12 131 ± 2.2 131 ± 1.74
DBP, mmHg
0 90.13 ± 2.11 100.23 ± 1.4 P < 0.001
12 82.16 ± 2.12 83 ± 1.87

a Abbreviations: BMI, body mass index; SBP, systolic blood pressure; and DBP, diastolic blood pressure.

b Values are presented as mean ± 2SD.

c P value for the comparison of changes after intervention between study groups (ANCOVA).

Mean levels of TC, LDL-C, HDL-C, TG, and fibrinogen, had no statistically different between the two groups after the intervention (Table 3). A significant enhancement in serum HDL-C level was observed between groups after the intervention. For other variables, no statistically significant difference was observed between two groups in the end of the study. The increase in HDL-C level (P < 0.001) and decrease in all variables (P < 0.001), except TG (P = 0.21), from the baseline showed statistical significant changes in the CoQ10 group (Table 3).

Table 3. Effect of Coenzyme Q10 on Serum Lipoproteins and Plasma Fibrinogen Concentration in the Study Groupsa,b,c.

Coenzyme Q10 P Valued Placebo P Valued P Valuee
Week 0 Week 12 Week 0 Week 12
TC, mmol/L 5.69 ± 0.57 4.47 ± 0.33 < 0.001 5.67 ± 0.59 4.93 ± 0.57 < 0.001 0.231
LDL-C, mmol/L 3.46 ± 0.34 2.70 ± 0.31 < 0.001 3.47 ± 0.34 2.70 ± 0.35 < 0.001 0.56
HDL-C, mmol/L 1.15 ± 0.17 1.44 ± 0.18 < 0.001 1.15 ± 0.18 1.14 ± 0.18 0.812 < 0.001
TG, mmol/L 2.39 ± 1.05 2.48 ± 0.12 0.324 2.23 ± 1.07 2.25 ± 0.69 0.341 0.145
Fibrinogen, g/L 3.88 ± 1.05 2.08 ± 0.99 0.001 3.99 ± 0.88 3.87 ± 0.64 0.451 0.301

a Abbreviations: TC, total cholesterol; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; and TG, triglyceride.

b Values are means ± 2SD.

c P value < 0.05 was considered as statistically significant.

d P Value for the comparison of changes within group (paired-sample t test).

e P Value for the comparison of changes between groups (ANCOVA).

As it is shown in Figure 2 a, in comparison to the baseline, the ratio of LDL-C/HDL-C decreased in both groups but this reduction was statistically significant only in CoQ10 group (P = 0.01). ANCOVA also revealed significant differences in the ratio of LDL-C/HDL-C between the two groups (P = 0.002). Figure 2 b shows that after the 12 weeks of intervention, a significant reduction in the ratio of TC/HDL-C was observed in the CoQ10 group (P = 0.03). This reduction was significant between two groups after intervention (P = 0.01).

Figure 2. Changes in Low-Density to High-Density Lipoprotein Cholesterols Ratio (2a) and Total to High-Density Lipoprotein Cholesterol Ratio (2b) After Twelve Weeks of Intervention in Studies Groups (*P < 0.05, **P ≥ 0.05).

Figure 2.

5. Discussion

The antioxidant role of CoQ10, as an inhibitor of lipid peroxidation, has been known for many years. Endothelial dysfunction is an important component of MI and may depend on reduced nitric oxide (NO) synthesis, increased NO inactivation, or both. Watts et al. showed that due to the effect of CoQ10 on serum lipoproteins, supplementation with CoQ10 increases endothelial function in patients with dyslipidemia. This study provided evidence for anti-atherogenic action of CoQ10, which is exerted through improving the endothelial function of conduit arteries (11). The results of this double-blinded randomized clinical trial demonstrate that intake of CoQ10 (200 mg/d) for 12 weeks would lead to significant increase in serum HDL-C and significant decrease in LDL-C/HDL-C ratio and TC/HDL-C ratio in patients with MI. Our results also indicated a slight but not significant decrease in serum LDL-C, TC, and TG. TC/HDL-C ratio is a significant predictor of cardiovascular events and a therapeutic target in high-risk patients such as those with MI. Reduction in this ratio was reached by using more aggressive LDL-C lowering therapy or potentially increasing the HDL-C level (12, 13). This increase in HDL-C was observed in our study. Patients receiving statin, show lower levels of plasma CoQ10. Therefore, statin treatment might cause CoQ10 deficiency (14). Studies have consistently demonstrated that statin therapy decreases circulating CoQ10 concentrations (15). In our study, using CoQ10 was associated with a significant increase in serum HDL-C in CoQ10 group. Except for serum HDL-C level, we did not find any significant changes in serum levels of other lipoproteins between two groups following the CoQ10 supplementation. Moreover, a significant increase was observed in the serum HDL-C levels in the CoQ10 group when compared to the placebo group. The rise in the serum HDL-C initiates cholesterol efflux and facilitates the removal of excess cholesterol from the arteries and delivers it to liver for being removed through reverse cholesterol transport pathway (16). The significant decreases in LDL-C/HDL-C ratio and TC/HDL-C ratio in our study were a favorable result for decreasing the CVD risk. However, the effects of CoQ10 on serum lipoproteins have been examined, but its effects on apolipoproteins have not been reported. According to Chapidze et al. (17), treatment with CoQ10 in patients with ischemic heart disease is associated with its potential independent role in lowering the markers of oxidative stress and decreasing the TC/HDL-C ratio. Plasma fibrinogen was not reduced by CoQ10 supplement therapy. Our results were in agreement with those of Kato et al. (18), who showed that showed the CoQ10 supplementation in patient with ischemic heart disease did not influence serum fibrinogen concentration. In addition, serum fibrinogen

levels did not change in patients with type 2 diabetes who were treated by 200 mg/day CoQ10 (19). Atherosclerosis and vascular events are influenced by fibrinogen. It can induce proliferation of vascular smooth muscles through binding to LDL. On the other hand, it stimulates platelet aggregation in vessels by launching occlusive arterial blood clot (20). As elevated concentration of fibrinogen increases blood viscosity and slows blood flow, it causes thrombus formation considerably (21). The great amounts of HDL-C raises fibrinolysis and inhibits platelet aggregation and LDL-C oxidation (22). As the duration of our intervention was limited, fibrinogen concentration was not different between groups. Hence, CoQ10 takes a long time to reduce lipid in patients with MI. Based on our results, CoQ10supplement therapy in MI reduced SBP and DBP, which was in agreement with other reports (23). In several studies, the effect of CoQ10 on lowering blood pressure was shown (24-26); therefore, there is a high correlation between CoQ10 deficiency and HTN. In other word, following oral administration of CoQ10 to patients with HTN, the blood pressure will fall (27). In patients with CAD, HTN and endothelial dysfunction are alleviated due to CoQ10 supplementation. Thus, endothelial dysfunction in patients with MI can be improved by CoQ10 supplement therapy, which can modify local vascular oxidative stress (28). Furthermore, the extracellular superoxide dismutase (ecSOD) activity and endothelium-dependent vasodilation are remarkably improved by CoQ10 supplementation in those with low initial endothelium-bound ecSOD, who were already more predisposed to oxidative stress (29). Consequently, it has been suggested that CoQ10 might also indirectly affect vascular function via inhibiting the inactivation of endothelial NO, which responds rapidly to superoxide radicals. It might be due to the rate of NO inactivation by superoxide anions, that might reduce CoQ10 under high-oxidative stress condition such as chronic heart failure and facing with multiple CAD risk factors (30). Antioxidant properties of CoQ10 result in reducing free radicals, which cause inactivation of endothelium-derived relaxing factor and/or fibrosis of arteriolar smooth muscle (31). The main strengths of this study were study size, homogeneity of the study population, and strict exclusion criteria, which reduced the potential effects of confounding factors. This study was the first research about the effect of CoQ10 supplementation in patients with MI who were under statins therapy. Nonetheless, our study had some limitations and therefore, our findings should be interpreted carefully. Markers such as fibrinogen, vitamin D, and cystatin C have a strong association with CVD but have not been implemented in clinic yet (32). No improvement in external validity in our study was another limitation to our trial.

In Conclusion, our study showed that supplementation with 200 mg/d CoQ10 might reduce serum HDL-C, LDL-C/HDL-C ratio, TC/HDL-C ratio, SBP, and DBP in patients with hyperlipidemia and MI.

Acknowledgments

We would like to express our sincere thanks to Iran University of Medical Sciences for providing fund for the project as well as all patients and their medical teams.

Footnotes

Authors’ Contributions:Dr Farzad Shidfar, Dr. Mohamad Reza Vafa, Mona Mohseni contributed to the study design, coordination of the project, and interpretation of data. Mona Mohseni and Dr. Mitra Zarrati collected data and performed data analysis. Dr. Abbas Rahimi Forushani performed sample size estimation and statistical analysis. Dr. Seyed Javad Hajimiresmail actively participated in project design. Vida Bitarafan wrote the manuscript and Dr. Farzad Shidfar performed the final revise of manuscript.

Funding/Support:This study was supported in part by grant from the Iran University of Medical Sciences.

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